Artificial intelligence-augmented mixture toxicology: reframing unresolved risk at Camp Lejeune.
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| Title: | Artificial intelligence-augmented mixture toxicology: reframing unresolved risk at Camp Lejeune. |
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| Authors: | Pressman P; Department of Sociology, University of Maine, Orono, ME 04469, United States., Hayes AW; College of Public Health, University of South Florida, Tampa, FL 33620, United States. |
| Source: | Toxicological sciences : an official journal of the Society of Toxicology [Toxicol Sci] 2026 Jun 05; Vol. 209 (6). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Oxford University Press Country of Publication: United States NLM ID: 9805461 Publication Model: Print Cited Medium: Internet ISSN: 1096-0929 (Electronic) Linking ISSN: 10960929 NLM ISO Abbreviation: Toxicol Sci Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 42225985 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Artificial intelligence-augmented mixture toxicology: reframing unresolved risk at Camp Lejeune. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Pressman+P%22">Pressman P</searchLink>; Department of Sociology, University of Maine, Orono, ME 04469, United States.<br /><searchLink fieldCode="AU" term="%22Hayes+AW%22">Hayes AW</searchLink>; College of Public Health, University of South Florida, Tampa, FL 33620, United States. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%229805461%22">Toxicological sciences : an official journal of the Society of Toxicology</searchLink> [Toxicol Sci] 2026 Jun 05; Vol. 209 (6). – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Oxford+University+Press%22">Oxford University Press </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>9805461 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1096-0929 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2210960929%22">10960929 </searchLink><i>NLM ISO Abbreviation: </i>Toxicol Sci <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42225985 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1093/toxsci/kfag066 Languages: – Code: eng Text: English Titles: – TitleFull: Artificial intelligence-augmented mixture toxicology: reframing unresolved risk at Camp Lejeune. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Pressman P – PersonEntity: Name: NameFull: Hayes AW IsPartOfRelationships: – BibEntity: Dates: – D: 05 M: 06 Text: 2026 Jun 05 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1096-0929 Numbering: – Type: volume Value: 209 – Type: issue Value: 6 Titles: – TitleFull: Toxicological sciences : an official journal of the Society of Toxicology Type: main |
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